Role of Corporate Social Responsibility in Corporate Reputation via Organizational Trust and Commitment

Purpose: The conceptual framework based on a comprehensive literature review hypothesized that the perceived CSR of an organization may lead to the development of trust and commitment among the employees, which in turn may lead to the building of the corporate reputation of the organization. Along with that, the moderating effects of HRM practices and organizational justice have also been investigated in the given relationship of corporate social responsibility (CSR) with its given mediators i.e., “organizational trust” and “organizational commitment”. Methodology: The target population of the study was comprised of the management and teaching faculty of educational institutions. The random sampling technique was employed to carry out an empirical study of 380 samples of employees. The data collected were analyzed by using the Smart PLS 3 software. The model was tested, and all the hypotheses were accepted. Findings: A positive relationship has been observed between CSR investments and corporate reputation. Furthermore, empirical results show that the employee’s commitment and the level of trust towards the organization serve as partial mediators between CSR practices and corporate reputation. The results showed that all of the hypotheses were accepted. Conclusion: This study is intuitive and empirically substantiates the selection of organizational justice and HRM practices as moderating variables between the observed CSR activities and its given mediators

Industry 4.0 or Pharma 4.0?

This chapter examines the convergence of Industry 4.0 and Pharma 4.0 in the context of healthcare supply chains. It investigates the potential applications of these industrial revolutions to enhance the flexibility, benefits, challenges, and opportunities of healthcare supply chains. This chapter highlights the application of state-of-the-art technology to create intelligent, adaptable, and personalized supply chain systems for the healthcare and pharmaceutical sectors. The literature on “Pharma Industry 4.0” is reviewed, with a focus on the opportunities for sustainable value creation and pharmaceutical supply chain research. Healthcare supply chain has some serious issues like counterfeit drugs, non-transparent supply chain, unfear track and trace system of medicines and biomedical instruments. The authors identified the potential solutions for these issues with the help of current innovative technologies and practices

Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions

Fake news and disinformation (FNaD) are increasingly being circulated through various online and social networking platforms, causing widespread disruptions and influencing decision-making perceptions. Despite the growing importance of detecting fake news in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs). Using a combination of AI and ML, and case studies based on data collected from Indonesia, Malaysia, and Pakistan, we developed a FNaD detection model aimed at preventing SCDs. This model based on multiple data sources has shown evidence of its effectiveness in managerial decision-making. Our study further contributes to the supply chain and AI-ML literature, provides practical insights, and points to future research directions.© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.fi=vertaisarvioitu|en=peerReviewed

Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions

Peer reviewedPostprin

To study Cost of Quality elements for designing and development of Quality by Operation project in English Biscuits Manufacturers Pvt Ltd

The term cost of quality (COQ) explains how an organization can use its resources to the best in order to raise its product’s quality or services and prevent poor quality resulting in any form of failure. This information help organization in determining possible saving that could be achieved on process improvements. Due to the current situation of world economic and market competition, organizations are working to reduce their supply chain cost. For this being an employee of quality assurance department, selected the project to work in the reduction of cost of quality specifically appraisal cost because currently, the company has very high (approx. 70%) of its Quality budget associated with quality control activities thus decided to design and development of ‘’ Quality by Operation Project ‘’ to optimize the cost of quality. The goals of this project are to measure, the appraisal cost and enhance the skill of the production workforce, and to highlight steps to optimize costs and processes. To create a better approach that makes an employee responsible for their own quality control and manufacturing a defect-free product

Impact of Role Model on Behavioral and Purchase Intentions among Youngsters: Empirical Evidence from Karachi, Pakistan

Concept of celebrity endorsement evolved in last few decades and it has strengthened its roots. Companies spend millions of dollar on celebrity endorsement. Marketers are trying to identify the impact of celebrity endorsement on companies’ profitability and advertising objectives. The purpose of this research was to investigate the impact of vicarious role model such as showbiz celebrity or sports celebrity on purchase intentions, brand loyalty and positive word of mouth among young adults of Karachi. Structured questionnaire was used to collect data through survey research method and data was collected from 252 students by using convenience sampling technique. Factor analysis and MANOVA were used as statistical techniques to test the model. Result showed that role model has significant impact on young adults’ purchase intentions, brand loyalty and positive word of mouth.\u